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# Apache License, Version 2.0 (the "License"); you may not use this file except in
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#
#     http://www.apache.org/licenses/LICENSE-2.0
#
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"""Module houses `FWFDispatcher` class, that is used for reading of tables with fixed-width formatted lines."""

from typing import Optional, Union, Sequence, Tuple

from modin.core.io.text.text_file_dispatcher import TextFileDispatcher


class FWFDispatcher(TextFileDispatcher):
    """Class handles utils for reading of tables with fixed-width formatted lines."""

    @classmethod
    def check_parameters_support(
        cls,
        filepath_or_buffer,
        read_kwargs: dict,
        skiprows_md: Union[Sequence, callable, int],
        header_size: int,
    ) -> Tuple[bool, Optional[str]]:
        """
        Check support of parameters of `read_fwf` function.

        Parameters
        ----------
        filepath_or_buffer : str, path object or file-like object
            `filepath_or_buffer` parameter of `read_fwf` function.
        read_kwargs : dict
            Parameters of `read_fwf` function.
        skiprows_md : int, array or callable
            `skiprows` parameter modified for easier handling by Modin.
        header_size : int
            Number of rows that are used by header.

        Returns
        -------
        bool
            Whether passed parameters are supported or not.
        Optional[str]
            `None` if parameters are supported, otherwise an error
            message describing why parameters are not supported.
        """
        if read_kwargs["infer_nrows"] > 100:
            return (
                False,
                "`infer_nrows` is a significant portion of the number of rows, so Pandas may be faster",
            )
        return super().check_parameters_support(
            filepath_or_buffer, read_kwargs, skiprows_md, header_size
        )
